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Absorbance amplification using chromophore-nanoplasmon coupling for ultrasensitive protein quantification
Sujin Seo1,2, Lonna Edwards3,2, Gang Logan Liu3,2
1Department of Materials Science and Engineering, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.
Analytical Chemistry
|August 19, 2015
Summary
Plasmonic nanoscale Lycurgus cup arrays (nanoLCAs) significantly boost biochemical assay sensitivity. This nanotechnology enhances protein quantification assays, enabling detection with reduced sample volumes and improved accuracy.
Area of Science:
- Nanotechnology
- Biochemistry
- Spectroscopy
Background:
- Commercial colorimetric biochemical assays often require high sensitivity for accurate quantification.
- Plasmonic nanostructures offer potential for enhancing optical properties of assays through near-field interactions.
Purpose of the Study:
- To investigate the use of plasmonic nanoscale Lycurgus cup arrays (nanoLCAs) for enhancing the sensitivity of commercial colorimetric biochemical assays.
- To evaluate the performance of nanoLCAs in a standard protein quantification assay, specifically the Bradford assay.
Main Methods:
- A 96-microwell plate was modified by integrating plasmonic nanoLCAs at the bottom of each well.
- The modified microplate was used with a commercial Bradford protein quantification assay to measure protein concentration.
- Absorbance values were measured at the plasmonic resonance wavelength to assess the enhancement effect.
Main Results:
- The plasmonic nanoLCA enhanced assay sensitivity by over two orders of magnitude (200-fold).
- A 5.1-fold reduction in sample volume was achieved while maintaining enhanced sensitivity.
- The near-field plasmonic energy coupling between nanoLCAs and assay chromophores increased absorbance values.
Conclusions:
- Plasmonic nanoLCAs provide a significant sensitivity enhancement for colorimetric biochemical assays.
- The nanoLCA-microplate platform is scalable to higher density formats (384- and 1536-well plates), enabling reduced sample volumes and increased throughput.
- This technology offers a promising approach for developing more sensitive and efficient diagnostic and analytical tools.

